ARTIFICIAL INTELLIGENCE BASED DRIVER DROWSINESS DETECTION

Abstract: Driver intoxication and driver tiredness are two of the most common causes of human-centered accidents, which are gradually on the rise. In order to assure safety and lower accidents brought on by drowsiness and alcohol consumption, researchers have recently revealed approaches that can identify fatigue by examining facial expressions. On the other hand, modern gadgets can only inform the driver when they sense sleepiness. The detection technique is typically divided into two parts, such as identifying the driver's facial expressions for indicators of fatigue and educating them further. The existing models are therefore unable to perform any further safety measures to ensure greater safety if the driver is still unable to control the vehicle after sounding an alarm.

Keywords: Drowsiness Detection, Haar Classifier, Hypo-vigilance.